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A design method of a generalized predictive control system based on parametrization of two‐degree‐of‐freedom integral controllers
Author(s) -
Naganawa Akihiro,
Aida Kazuo,
Obinata Goro
Publication year - 1999
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19991115)129:2<62::aid-eej7>3.0.co;2-e
Subject(s) - control theory (sociology) , parametrization (atmospheric modeling) , linear quadratic gaussian control , feed forward , model predictive control , mathematics , quadratic equation , controller (irrigation) , perturbation (astronomy) , computer science , optimal control , control engineering , engineering , mathematical optimization , control (management) , physics , agronomy , geometry , quantum mechanics , artificial intelligence , biology , radiative transfer
A new design method for a generalized predictive control (GPC) system based on parametrization of two‐degree‐of‐freedom integral controllers has been proposed. The objective is to guarantee stability of the control system without depending on the design parameters and to achieve low sensitivity against the plant perturbation and the disturbance. The design procedure consists of two steps. First, we design a basic integral controller for a nominal plant using the linear quadratic Gaussian (LQG) method and parametrize a class of two‐degree‐of‐freedom stabilizing controllers. Next, we tune the feedforward controller to incorporate the GPC method into our control structure. A numerical example is presented to show the effectiveness of the proposed method by comparing it with the conventional GPC method. © 1999 Scripta Technica, Electr Eng Jpn, 129(2): 62–70, 1999